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Culture
1. leadership mindset
2. customer focused
3. lean thinking
4. system thinking
5. remove waste
6. theory of constraints
7. alignment and autonomy
8. shift-left testing
9. security mindset
10. hypothesis-driven development
11. live-site mindset.
12. measure outcomes, not
activity mindset
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Lean Product
The product-centric model
• Can serve external and internal customers
• Is clearly defined by its business capabilities
• Delivers capabilities that have customers value
• Can be a repeatable service or a platform
• Can be bought, sold, subscribed. and/or funded
• Has competition in the market and a product lifecycle
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SKILLING SUMMIT 2022
Architecture
•Stakeholders, which can include business stakeholders,
application teams, QA teams, operations, security, and users.
•Separation of concerns: to reduce complexity, separate the
concerns that drive the design.
•Quality-driven attributes: including scalability, extensibility,
reliability, maintainability, and security.
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SKILLING SUMMIT 2022
Architecture
• Conceptual integrity: software architecture represents an
overall vision of what it should do and how it should do it to
maintain architecture, data, and process integrity.
• Cognitive constraints: organizations are constrained to
produce designs that are copies of their communication
structures.
• Recurring styles: the software architecture discipline requires
us to develop standard ways to address recurring concerns.
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Continuous Delivery
• Release pipeline
• Secure Infrastructure deployment
• Infrastructure as a service
deployment (IaaS)
• Platform as a service deployment
(PaaS)
• Software as a service deployment
(SaaS)
• Infrastructure as code
(IaC)
• On-premises or cloud
deployment
• Change management
• Configuration
management
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Continuous Operations
• Site reliability engineering (SRE)
• Telemetry/monitoring
• Application performance
monitoring
• Auto failover & scaling
• Modern service management
• Secure Dev/Ops ChatOps
• Shift-right testing
• Governance
• Secrets management
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SKILLING SUMMIT 2022
Continuous Implement
• Lead time & cycle time
• Deployment frequency
• Mean time to resolution (MTTR)
• Change fail percentage
• Continuous feedback